Bio
Vincenzo Gattulli holds both a bachelor’s and master’s degree in computer science from the University of Bari Aldo Moro. He has actively contributed to projects centered on Cyber Security and Machine Learning, resulting in consecutive publications. His primary research focus lies within the realm of cyber security. Previously, he served as an IT consultant at the academic spin-off of the University of Bari Aldo Moro, “Digital innovation srl (DIVA).”Currently, he is pursuing a Ph.D. in Computer Science and Mathematics, sponsored by the National Operational Programme for Research and Innovation 2014-2020 (CCI 2014IT16M2OP005), FSE REACT-EU resources, encompassing Action IV.4 “Doctorates and research contracts on innovation themes” and Action IV.5 “Doctorates on Green themes.” His doctoral endeavor, titled “Biometrics for Safety and Health in Real-World Contexts,” is financially supported under the aforementioned program, with grant code DOT1302947 and CUP H99J21010060001.
Publications
2024
- Human activity recognition with smartphone-integrated sensors: A survey
Vincenzo Dentamaro, Vincenzo Gattulli, Donato Impedovo, Fabio Manca
Expert Syst. Appl. 246: 123143
DOI: 10.1016/J.ESWA.2024.123143 - Classification bullying/cyberbullying through smartphone sensor and a questionnaire application
Vito Nicola Convertini, Vincenzo Gattulli, Donato Impedovo, Grazia Terrone
Multim. Tools Appl. 83[17]: 51291-51320
DOI: 10.1007/S11042-023-17609-7 - Analyzing Cyberaggression: Comparative Model Performance on Social Media Comments with Italian Dataset
Vincenzo Gattulli, Donato Impedovo, Alessia Monaco, Lucia Sarcinella
HCAIep 2024: 15-21
DOI: 10.1145/3701268.3701270 - Artificial intelligence tools in the ongoing fight against bullying and cyberbullying: a multidisciplinary approach
Giulia Orrù, Vincenzo Gattulli, Guido Colaiacovo, Stefano Marrone, Giovanni Puglisi, Lucia Sarcinella, Grazia Terrone, Donatella Curtotti, Donato Impedovo, Gian Luca Marcialis, Carlo Sansone
Ital-IA 2024: 188-193
2023
- Two-factor authentication by combining PIN and biometrics Touch Dynamics
Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo
BESC 2023: 1-6
DOI: 10.1109/BESC59560.2023.10386880 - Handwriting Task-Selection based on the Analysis of Patterns in Classification Results on Alzheimer Dataset
Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Gianfranco Semeraro
DSTNDS 2023: 18-29 - Fixed Tasks for Continuous Authentication via Smartphone
Vincenzo Gattulli, Donato Impedovo, Tonino Palmisano, Lucia Sarcinella
ICPRAM 2023: 905-913
DOI: 10.5220/0011718300003411 - Fall Detection with LSTM and Attention Mechanism
Francesco Castro, Vincenzo Dentamaro, Vincenzo Gattulli, Donato Impedovo
WAMWB@MobileHCI 2023: 37-50 - Anomaly Detection Using Smartphone Sensors for a Bullying Detection
Vincenzo Gattulli, Donato Impedovo, Lucia Sarcinella
WorldCIST 2023: 330-340
DOI: 10.1007/978-3-031-45651-0_33
2022
- Behavioral Analysis for User Satisfaction
Michela Chimienti, Ivan Danzi, Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Davide Veneto
BigMM 2022: 113-119
DOI: 10.1109/BIGMM55396.2022.00027 - Early Dementia Identification: On the Use of Random Handwriting Strokes
Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Gianfranco Semeraro
IGS 2022: 285-300
DOI: 10.1007/978-3-031-19745-1_21 - Cyber Aggression and Cyberbullying Identification on Social Networks
Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Lucia Sarcinella
ICPRAM 2022: 644-651
DOI: 10.5220/0010877600003122 - Human Description in the Wild: Description of the Scene with Ensembles of AI Models
Vincenzo Dentamaro, Vincenzo Gattulli, Paolo Giglio, Donato Impedovo, Giuseppe Pirlo
S+SSPR 2022: 311-322
DOI: 10.1007/978-3-031-23028-8_32 - WanDa: A Mobile Application to Prevent Wandering
Berardina De Carolis, Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo
WIVACE 2022: 232-244
DOI: 10.1007/978-3-031-31183-3_19
2021
- Effective Machine Learning Solutions for Punctual Weather Parameter Forecasting in a Real Missing Data Scenario
Donato Impedovo, Giacomo Abbattista, Vito Nicola Convertini, Vincenzo Gattulli, Giuseppe Pirlo, Lucia Sarcinella
Int. J. Pattern Recognit. Artif. Intell. 35[12]: 2160004:1-2160004:14
DOI: 10.1142/S0218001421600041 - A comparative study of shallow learning and deep transfer learning techniques for accurate fingerprints vitality detection
Donato Impedovo, Vincenzo Dentamaro, Giacomo Abbattista, Vincenzo Gattulli, Giuseppe Pirlo
Pattern Recognit. Lett. 151: 11-18
DOI: 10.1016/J.PATREC.2021.07.025
2020
- Double Deep Q Network with In-Parallel Experience Generator
Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo, Giacomo Abbattista, Vincenzo Gattulli
EAIS 2020: 1-8
DOI: 10.1109/EAIS48028.2020.9122706